图 书 馆
基于非参数随机效应模型的大规模协同预测Large-Scale Collaborative Prediction Using a Nonparametric Random Effects Model |
|
| 课程网址: | http://videolectures.net/icml09_yu_lscp/ |
| 主讲教师: | Kai Yu |
| 开课单位: | 美国NEC实验室 |
| 开课时间: | 2009-08-26 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | A nonparametric model is introduced that allows multiple related regression tasks to take inputs from a common data space. Traditional transfer learning models can be inappropriate if the dependence among the outputs cannot be fully resolved by known input-specific and task-specific predictors. The proposed model treats such output responses as conditionally independent, given known predictors and appropriate unobserved random effects. The model is nonparametric in the sense that the dimensionality of random effects is not specified a priori but is instead determined from data. An approach to estimating the model is presented uses an EM algorithm that is efficient on a very large scale collaborative prediction problem. The obtained prediction accuracy is competitive with state-of-the-art results. |
| 关 键 词: | 回归任务; 公共数据; 非参数模型 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-25：cwx |
| 阅读次数: | 71 |